Gait recognition is an appealing biometric modality which aims to identify individuals based
on the way they walk. Deep learning has reshaped the research landscape in this area …

In the recent past, deep learning methods have demonstrated remarkable success for
supervised learning tasks in multiple domains including computer vision, natural language …

In the field of artificial intelligence, human–computer interaction (HCI) technology and its
related intelligent robot technologies are essential and interesting contents of research …

We present DeepPrint, a deep network, which learns to extract fixed-length fingerprint
representations of only 200 bytes. DeepPrint incorporates fingerprint domain knowledge …

Compared with single biometric recognition, multimodal biometric recognition based on
fingerprint and finger vein has been widely considered because of its convenient sample …

The increasing scope of sensitive personal information that is collected and stored in
wearable healthcare devices includes physical, physiological, and daily activities, which …

Latent fingerprints are considered as one of the important evidences obtained from the site
of crime. The process of developing, acquiring, processing and matching of latent …

Biometric deals with the verification and identification of a person based on behavioural and
physiological traits. This article presents recent advances in physiological-based biometric …

Deep learning has become a predominant method for solving data analysis problems in
virtually all fields of science and engineering. The increasing complexity and the large …

Palmprint is one of the discriminant biometric modalities of humans. Recently, deep learning-
based palmprint recognition algorithms have improved the accuracy and robustness of …